CN105915857A - Monitoring system and monitoring method for supermarket shopping cart - Google Patents
Monitoring system and monitoring method for supermarket shopping cart Download PDFInfo
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- CN105915857A CN105915857A CN201610414195.3A CN201610414195A CN105915857A CN 105915857 A CN105915857 A CN 105915857A CN 201610414195 A CN201610414195 A CN 201610414195A CN 105915857 A CN105915857 A CN 105915857A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention relates to a monitoring system and monitoring method for a supermarket shopping cart. The monitoring system comprises a controller mounted between shopping cart handles, a code scanner, a weighing sensor arranged at the bottom of a basket and a camera positioned at the upper end of the basket and used for monitoring a basket opening; the code scanner is positioned at the lower side of the controller and is opposite to the basket opening of the shopping cart; the code scanner, the weighing sensor and the camera are respectively in communication connection with the controller; the complete shopping process of a customer is divided into six states; in each state, weight change information fed back in real time by the weighing sensor, information of each frame of image, which is acquired by a monitoring device, and commodity information acquired by the code scanner are utilized to different degrees; and by combining a plurality of image analysis algorithms, an anti-theft function of an intelligent shopping cart system in the shopping process is achieved. By carrying out gray scale image statistic characteristic analysis or mode identification on a detected motion target image or a skin color detection image, empty-handed or commodity-held detection in a monitoring region is implemented, and a violation operation of the customer is timely reminded and corrected.
Description
Technical field
The present invention relates to a kind of supermarket shopping car monitoring system and monitoring method thereof, particularly relate to a kind of Supermarket shopping system combined based on graphical analysis and gravity sensitive and monitoring method thereof.
Background technology
Although nowadays net purchase is very convenient, but supermarket shopping is still that the important shopping approach of people and life style, especially in a tier 2 cities or festivals or holidays, the phenomenon paid the bill of queuing up highlights, this makes script shopping way the most efficiently long due to the time waiting in line checkout, the purchase experiences fallen behind reduces the desire for consumer goods of client, but adds the operation cost in supermarket.Therefore, research and development integrate the checkout of self-service barcode scanning and monitor the smart shopper system of pilferage behavior in real time, have wide market prospect and great commercial value.
The most existing a lot of similar research, Wal-Mart first have developed RFID technique in retail business, and have developed Intelligent shopping trolley based on RFID and try out in part Wal-Mart supermarket, Dalian University of Technology subsequently, Shanghai Communications Universitys etc. have studied shopping intelligent terminal based on RFID, this research employs RFID label tag and replaces multi-dimensional bar code, this label not only contains commodity every terms of information, and have good anti-counterfeiting technology, encryption technology and information control, but RFID label tag the most also cannot replace common Quick Response Code for a long time, therefore nowadays only have the extremely indivedual supermarket of Wal-Mart in popularization and application.Central South University, College of Information Science and Engineering, University of Electronic Science and Technology etc. are additionally also had to have studied Intelligent shopping trolley based on embedded system, the program combines the intelligent terminal of common bar code and embedded OS, achieve indoor navigation, bar code scan, management Shopping List, generate the functions such as payment code, but the program is not involved with the anti-theft feature of shopping cart, the most also cannot be widely used.But shopping cart commodity are carried out antitheft according to eas system i.e. EAS system by Liu Bing of Northeast Forestry University et al., utilize the soft label of each commodity, just by EAS system, soft label can be decoded after commodity are settled accounts, thus realize antitheft, this is similar with RFID label tag, needing to make each commodity different soft labels, workload is bigger, it is impossible to be widely used.The anti-theft measure that at present supermarket has is substantially on the electronic gate going out supermarket door, excessively simple including patent CN201520043135.6 and patent CN201510559549.9 the method logical judgment, and can not detect and substitute commodity operation for another surreptitiously in shopping process.
Summary of the invention
It is an object of the invention to: a kind of supermarket shopping car monitoring system and monitoring method thereof are provided, utilize the bar code data collected in shopping process, the image analysis data in weight change data and shopping cart central area in Shopping Basket, it is achieved the function of shopping cart anti-theft.
In order to reach object above, a kind of supermarket shopping car monitoring system that the present invention provides, including the controller being installed between shopping cart handle, code reader, it is placed in the LOAD CELLS bottom bicycle basket and is positioned at the photographic head of bicycle basket upper end monitoring basket mouth, code reader is positioned on the downside of controller, relative with shopping bicycle basket mouth, code reader, LOAD CELLS and photographic head are connected with controller communication respectively.
The preferred version of the present invention is: the resolution meaning 40-50(800*600 of shooting) ten thousand pixels, frame frequency is not less than 25 frames/second.
Preferably, the measurement scope of LOAD CELLS is 0-100 kilogram, and gamut weighing precision is ± 1 gram.
Preferably, code reader is connected with controller by USB interface.
A kind of monitoring method of base supermarket shopping car monitoring system, comprises the steps,
S1, startup controller, code reader, LOAD CELLS and photographic head start to gather data message；
When LOAD CELLS meter weight is constant, then commodity are not put into Shopping Basket or empty-handedly operate by client, if commodity barcode scanning, controller can be pointed out barcode scanning success, be entered step S4, detected whether violation operation；If the non-barcode scanning of commodity, the image information in camera collection Shopping Basket is transferred to controller and carries out image judgement, it is judged that empty-handed or hand-held object；If hand-held object, enter step S2, if empty-handed, ignore this action；
When LOAD CELLS meter heavily increases, representing the non-barcode scanning of commodity or barcode scanning is unsuccessful has been directly placed in Shopping Basket, then can point out and take out barcode scanning again, entering step S6, whether the commodity that detection is taken out are the commodity just now put into；
When LOAD CELLS meter restatement heavily reduces, represent and be complete single purchase process, then the return of goods can be pointed out to ask barcode scanning, and enter step S3, detect whether not meet the violation operation of the return of goods；
S2, this step be in determining hands, have article after；
If LOAD CELLS meter weight is constant, then explanation commodity are introduced into Shopping Basket, and controller prompting barcode scanning, when entering step S4 after barcode scanning success；
If LOAD CELLS meter restatement heavily reduces, then there is the violation operation substituting commodity for another surreptitiously in explanation client, and controller can point out violation operation to walk artificial channel；
If LOAD CELLS meter heavily increases, then explanation client has put into again new commodity in the case of non-barcode scanning, and controller can point out new commodity to take out, and enters step S6, and whether the commodity that detection is taken out meet, in order to avoid substituting commodity for another surreptitiously；
S3, when step S1 detecting, meter heavily reduces signal, now hands is in the region of photographic head detection, and the moving target barycenter position according to detecting judges；
When barycenter is outside Shopping Basket central area, then it is assumed that commodity have been taken out and non-barcode scanning by client, and which commodity not can determine that client takes out is, therefore can point out violation operation, please walk artificial channel；
When barycenter is in Shopping Basket central area, the real-time weight change information of weighing machine can be gathered；If meter weight the most constant, illustrate, at normal return process, to need barcode scanning again, so time determined whether to return goods successfully by the barcode scanning signal fed back；If non-barcode scanning, controller can point out the return of goods to ask barcode scanning；If barcode scanning, weight-matched can be carried out, it is judged that whether the commodity taken out meet the commodity of barcode scanning；If meeting, can point out and please take out and enter step S5, detect the violation operation during taking out；If not meeting, then it is assumed that the commodity that client takes out are incorrect, prompting please walk artificial channel；If meter heavily increases, then carrying out weight-matched, if coupling does not meets, then it is assumed that client has put into other commodity, controller prompting please walk artificial channel；If coupling meets, then carry out image judgement, in case client puts into the commodity of same weight；If meter heavily reduces, then it is assumed that taking out two pieces merchandise return, controller can remind client simultaneously；
S4, when, after the prompting barcode scanning success of step S1, photographic head can detect the centroid position of moving target, if detecting, barycenter is outside Shopping Basket central area, then it is assumed that client is returning goods, therefore can point out its barcode scanning again, complete return process；
The real-time weight change information fed back by weighing machine is divided into three kinds of situations；When meter weight is constant, only need to judge the position of barycenter；
When meter heavily reduces；Then think that the non-barcode scanning of client just takes out commodity, remind client's violation operation, artificial channel need to be walked；
When meter heavily increases, commodity have been placed in shopping cart, now carry out weight-matched.If met, image judges whether the hands of client holds article, if hand-held article, then it is assumed that holding the weight such as two in hands but the object of non-equivalence lattice, the commodity of barcode scanning may be different with the commodity put into, therefore will be considered that and be violation operation and point out artificial channel；If empty-handed, then it is assumed that to buy successfully, can point out and can continue shopping, and return to step S1.If do not met, then can remind and take out new commodity, enter step S6, whether detection has violation operation during taking out；
S5, this step are in return process after weight-matched, and whether detection has violation operation when taking out commodity；
It is regarded as violation operation when meter heavily increases or counts heavily to reduce；
When meter weight is constant, according to the difference bianry image of former frame Yu present frame, if white pixel area is less than just illustrating within the least threshold value that commodity have dropped out monitoring region, the return of goods terminate, and return to step S1, continue shopping；
S6, this step are to detect that in purchasing process weight is not mated, and the commodity that when commodity are taken out in prompting, detection is taken out are the most identical with the commodity put into；
When meter heavily increases, it is believed that not taking out commodity and also continuing to put into new commodity is unconventional shopping operation, can remind client；
When meter heavily reduces, according to the difference bianry image of former frame Yu present frame, if white pixel area less than within the least threshold value just explanation commodity have dropped out monitoring region, after correct commodity are taken out can step S1, continue to do shopping.
Preferably, image judge be by first colour original being carried out gradation conversion after, again it carried out motion detection and determine moving target barycenter, after barycenter is in Shopping Basket Surveillance center region, colour original is carried out Face Detection, motion detection result and Face Detection result are sued for peace and obtains entire motion target image, then entire motion objective result and colour of skin result are subtracted each other and obtain colour of skin moving target；Then pixel number that pixel value in colour of skin moving image is 255 is calculated away as removing colour of skin area, and calculate the comentropy of colour of skin barycenter following entire motion target, if the colour of skin area that goes of continuous multiple frames detection is more than threshold value B more than the comentropy of moving region below threshold value A or colour of skin barycenter, it is regarded as hand-held object in Shopping Basket, otherwise it is considered empty-handed, background need to be updated.
Present invention have the beneficial effect that and the complete shopping process of client is divided into six states, utilize, in each state, the merchandise news that every frame image information that the weight change information of LOAD CELLS Real-time Feedback, supervising device gather, code reader obtain to some extent, realize Intelligent shopping trolley system anti-theft function in shopping process in conjunction with multiple image analysis algorithm；By the movement destination image detected or Face Detection image are carried out gray level image statistics characteristic analysis or pattern recognition, empty-handed or the detection of hand-held commodity in realizing monitoring region, remind and correct the violation operation of client in time, realize the judgement to client's Shopping Behaviors in violation of rules and regulations, and while antitheft stopping loss, realize payment to exempt to queue up, reduce cost of labor, improve purchase experiences.
Accompanying drawing explanation
Fig. 1 is the modular structure schematic diagram of the present invention.
Fig. 2 is the flow chart of the inventive method step one.
Fig. 3 is the flow chart of the inventive method step 2.
Fig. 4 is the flow chart of the inventive method step 3.
Fig. 5 is the flow chart of the inventive method step 4.
Fig. 6 is the flow chart of the inventive method step 5.
Fig. 7 is the flow chart of the inventive method step 6.
Detailed description of the invention
Embodiment one
A kind of supermarket shopping car monitoring system that the present embodiment provides, include the controller being installed between shopping cart handle, code reader as shown in Figure 1, be placed in the LOAD CELLS bottom bicycle basket and be positioned at the photographic head of bicycle basket upper end monitoring basket mouth, code reader is positioned on the downside of controller, relative with shopping bicycle basket mouth, code reader, LOAD CELLS and photographic head are connected with controller communication respectively.
The resolution meaning 40-50(800*600 of shooting) ten thousand pixels, frame frequency is not less than 25 frames/second.
The measurement scope of LOAD CELLS is 0-100 kilogram, and gamut weighing precision is ± 1 gram.
Code reader is connected with controller by USB interface.
A kind of monitoring method of base supermarket shopping car monitoring system, comprises the steps,
S1, startup controller, code reader, LOAD CELLS and photographic head start to gather data message；As in figure 2 it is shown,
When LOAD CELLS meter weight is constant, then commodity are not put into Shopping Basket or empty-handedly operate by client, if commodity barcode scanning, controller can be pointed out barcode scanning success, be entered step S4, detected whether violation operation；If the non-barcode scanning of commodity, the image information in camera collection Shopping Basket is transferred to controller and carries out image judgement, it is judged that empty-handed or hand-held object；If hand-held object, enter step S2, if empty-handed, ignore this action；
When LOAD CELLS meter heavily increases, representing the non-barcode scanning of commodity or barcode scanning is unsuccessful has been directly placed in Shopping Basket, then can point out and take out barcode scanning again, entering step S6, whether the commodity that detection is taken out are the commodity just now put into；
When LOAD CELLS meter restatement heavily reduces, represent and be complete single purchase process, then the return of goods can be pointed out to ask barcode scanning, and enter step S3, detect whether not meet the violation operation of the return of goods；
S2, this step be in determining hands, have article after；As it is shown on figure 3,
If LOAD CELLS meter weight is constant, then explanation commodity are introduced into Shopping Basket, and controller prompting barcode scanning, when entering step S4 after barcode scanning success；
If LOAD CELLS meter restatement heavily reduces, then there is the violation operation substituting commodity for another surreptitiously in explanation client, and controller can point out violation operation to walk artificial channel；
If LOAD CELLS meter heavily increases, then explanation client has put into again new commodity in the case of non-barcode scanning, and controller can point out new commodity to take out, and enters step S6, and whether the commodity that detection is taken out meet, in order to avoid substituting commodity for another surreptitiously；
S3, as shown in Figure 4, when detecting in step S1 that meter heavily reduces signal, now hands is in the region of photographic head detection, and the moving target barycenter position according to detecting judges；
When barycenter is outside Shopping Basket central area, then it is assumed that commodity have been taken out and non-barcode scanning by client, and which commodity not can determine that client takes out is, therefore can point out violation operation, please walk artificial channel；
When barycenter is in Shopping Basket central area, the real-time weight change information of weighing machine can be gathered；If meter weight the most constant, illustrate, at normal return process, to need barcode scanning again, so time determined whether to return goods successfully by the barcode scanning signal fed back；If non-barcode scanning, controller can point out the return of goods to ask barcode scanning；If barcode scanning, weight-matched can be carried out, it is judged that whether the commodity taken out meet the commodity of barcode scanning；If meeting, can point out and please take out and enter step S5, detect the violation operation during taking out；If not meeting, then it is assumed that the commodity that client takes out are incorrect, prompting please walk artificial channel；If meter heavily increases, then carrying out weight-matched, if coupling does not meets, then it is assumed that client has put into other commodity, controller prompting please walk artificial channel；If coupling meets, then carry out image judgement, in case client puts into the commodity of same weight；If meter heavily reduces, then it is assumed that taking out two pieces merchandise return, controller can remind client simultaneously；
S4 is as it is shown in figure 5, after step S1 prompting barcode scanning is successful, photographic head can detect the centroid position of moving target, if detecting, barycenter is outside Shopping Basket central area, then it is assumed that client is returning goods, therefore can point out its barcode scanning again, completes return process；
The real-time weight change information fed back by weighing machine is divided into three kinds of situations；When meter weight is constant, only need to judge the position of barycenter；
When meter heavily reduces；Then think that the non-barcode scanning of client just takes out commodity, remind client's violation operation, artificial channel need to be walked；
When meter heavily increases, commodity have been placed in shopping cart, now carry out weight-matched.If met, image judges whether the hands of client holds article, if hand-held article, then it is assumed that holding the weight such as two in hands but the object of non-equivalence lattice, the commodity of barcode scanning may be different with the commodity put into, therefore will be considered that and be violation operation and point out artificial channel；If empty-handed, then it is assumed that to buy successfully, can point out and can continue shopping, and return to step S1.If do not met, then can remind and take out new commodity, enter step S6, whether detection has violation operation during taking out；
S5, as shown in Figure 6, this step is in return process after weight-matched, and whether detection has violation operation when taking out commodity；
It is regarded as violation operation when meter heavily increases or counts heavily to reduce；
When meter weight is constant, according to the difference bianry image of former frame Yu present frame, if white pixel area is less than just illustrating within the least threshold value that commodity have dropped out monitoring region, the return of goods terminate, and return to step S1, continue shopping；
S6 is as it is shown in fig. 7, this step is to detect that in purchasing process weight is not mated, and the commodity that when commodity are taken out in prompting, detection is taken out are the most identical with the commodity put into；
When meter heavily increases, it is believed that not taking out commodity and also continuing to put into new commodity is unconventional shopping operation, can remind client；
When meter heavily reduces, according to the difference bianry image of former frame Yu present frame, if white pixel area less than within the least threshold value just explanation commodity have dropped out monitoring region, after correct commodity are taken out can step S1, continue to do shopping.
Image judge be by first colour original being carried out gradation conversion after, again it carried out motion detection and determine moving target barycenter, after barycenter is in Shopping Basket Surveillance center region, colour original is carried out Face Detection, motion detection result and Face Detection result are sued for peace and obtains entire motion target image, then entire motion objective result and colour of skin result are subtracted each other and obtain colour of skin moving target；Then pixel number that pixel value in colour of skin moving image is 255 is calculated away as removing colour of skin area, and calculate the comentropy of colour of skin barycenter following entire motion target, if the colour of skin area that goes of continuous multiple frames detection is more than threshold value B more than the comentropy of moving region below threshold value A or colour of skin barycenter, it is regarded as hand-held object in Shopping Basket, otherwise it is considered empty-handed, background need to be updated.
In addition to the implementation, the present invention can also have other embodiments.The technical scheme that all employing equivalents or equivalent transformation are formed, all falls within the protection domain of application claims.
Claims (6)
1. a supermarket shopping car monitoring system, it is characterized in that, including the controller being installed between shopping cart handle, code reader, it is placed in the LOAD CELLS bottom bicycle basket and is positioned at the photographic head of bicycle basket upper end monitoring basket mouth, described code reader is positioned on the downside of described controller, relative with shopping bicycle basket mouth, described code reader, described LOAD CELLS and described photographic head are connected with described controller communication respectively.
A kind of supermarket shopping car monitoring system the most according to claim 1, it is characterised in that the resolution meaning 40-50(800*600 of described shooting) ten thousand pixels, frame frequency is not less than 25 frames/second.
A kind of supermarket shopping car monitoring system the most according to claim 1, it is characterised in that the measurement scope of described LOAD CELLS is 0-100 kilogram, and gamut weighing precision is ± 1 gram.
A kind of supermarket shopping car monitoring system the most according to claim 1, it is characterised in that described code reader is connected with controller by USB interface.
5. a monitoring method based on claim 1-4 supermarket shopping car monitoring system, it is characterised in that comprise the steps,
S1, startup controller, code reader, LOAD CELLS and photographic head start to gather data message；
When LOAD CELLS meter weight is constant, then commodity are not put into Shopping Basket or empty-handedly operate by client, if commodity barcode scanning, controller can be pointed out barcode scanning success, be entered step S4, detected whether violation operation；If the non-barcode scanning of commodity, the image information in camera collection Shopping Basket is transferred to controller and carries out image judgement, it is judged that empty-handed or hand-held object；If hand-held object, enter step S2, if empty-handed, ignore this action；
When LOAD CELLS meter heavily increases, representing the non-barcode scanning of commodity or barcode scanning is unsuccessful has been directly placed in Shopping Basket, then can point out and take out barcode scanning again, entering step S6, whether the commodity that detection is taken out are the commodity just now put into；
When LOAD CELLS meter restatement heavily reduces, represent and be complete single purchase process, then the return of goods can be pointed out to ask barcode scanning, and enter step S3, detect whether not meet the violation operation of the return of goods；
S2, this step be in determining hands, have article after；
If LOAD CELLS meter weight is constant, then explanation commodity are introduced into Shopping Basket, and controller prompting barcode scanning, when entering step S4 after barcode scanning success；
If LOAD CELLS meter restatement heavily reduces, then there is the violation operation substituting commodity for another surreptitiously in explanation client, and controller can point out violation operation to walk artificial channel；
If LOAD CELLS meter heavily increases, then explanation client has put into again new commodity in the case of non-barcode scanning, and controller can point out new commodity to take out, and enters step S6, and whether the commodity that detection is taken out meet, in order to avoid substituting commodity for another surreptitiously；
S3, when step S1 detecting, meter heavily reduces signal, now hands is in the region of photographic head detection, and the moving target barycenter position according to detecting judges；
When barycenter is outside Shopping Basket central area, then it is assumed that commodity have been taken out and non-barcode scanning by client, and which commodity not can determine that client takes out is, therefore can point out violation operation, please walk artificial channel；
When barycenter is in Shopping Basket central area, the real-time weight change information of weighing machine can be gathered；If meter weight the most constant, illustrate, at normal return process, to need barcode scanning again, so time determined whether to return goods successfully by the barcode scanning signal fed back；If non-barcode scanning, controller can point out the return of goods to ask barcode scanning；If barcode scanning, weight-matched can be carried out, it is judged that whether the commodity taken out meet the commodity of barcode scanning；If meeting, can point out and please take out and enter step S5, detect the violation operation during taking out；If not meeting, then it is assumed that the commodity that client takes out are incorrect, prompting please walk artificial channel；If meter heavily increases, then carrying out weight-matched, if coupling does not meets, then it is assumed that client has put into other commodity, controller prompting please walk artificial channel；If coupling meets, then carry out image judgement, in case client puts into the commodity of same weight；If meter heavily reduces, then it is assumed that taking out two pieces merchandise return, controller can remind client simultaneously；
S4, when, after the prompting barcode scanning success of step S1, photographic head can detect the centroid position of moving target, if detecting, barycenter is outside Shopping Basket central area, then it is assumed that client is returning goods, therefore can point out its barcode scanning again, complete return process；
The real-time weight change information fed back by weighing machine is divided into three kinds of situations；When meter weight is constant, only need to judge the position of barycenter；
When meter heavily reduces；Then think that the non-barcode scanning of client just takes out commodity, remind client's violation operation, artificial channel need to be walked；
When meter heavily increases, commodity have been placed in shopping cart, now carry out weight-matched；If met, image judges whether the hands of client holds article, if hand-held article, then it is assumed that holding the weight such as two in hands but the object of non-equivalence lattice, the commodity of barcode scanning may be different with the commodity put into, therefore will be considered that and be violation operation and point out artificial channel；If empty-handed, then it is assumed that to buy successfully, can point out and can continue shopping, and return to step S1；If do not met, then can remind and take out new commodity, enter step S6, whether detection has violation operation during taking out；
S5, this step are in return process after weight-matched, and whether detection has violation operation when taking out commodity；
It is regarded as violation operation when meter heavily increases or counts heavily to reduce；
When meter weight is constant, according to the difference bianry image of former frame Yu present frame, if white pixel area is less than just illustrating within the least threshold value that commodity have dropped out monitoring region, the return of goods terminate, and return to step S1, continue shopping；
S6, this step are to detect that in purchasing process weight is not mated, and the commodity that when commodity are taken out in prompting, detection is taken out are the most identical with the commodity put into；
When meter heavily increases, it is believed that not taking out commodity and also continuing to put into new commodity is unconventional shopping operation, can remind client；
When meter heavily reduces, according to the difference bianry image of former frame Yu present frame, if white pixel area less than within the least threshold value just explanation commodity have dropped out monitoring region, after correct commodity are taken out can step S1, continue to do shopping.
The monitoring method of a kind of supermarket shopping car monitoring system the most according to claim 5, it is characterized in that, described image judge be by first colour original being carried out gradation conversion after, again it carried out motion detection and determine moving target barycenter, after barycenter is in Shopping Basket Surveillance center region, colour original is carried out Face Detection, motion detection result and Face Detection result are sued for peace and obtains entire motion target image, then entire motion objective result and colour of skin result are subtracted each other and obtain colour of skin moving target；Then pixel number that pixel value in colour of skin moving image is 255 is calculated away as removing colour of skin area, and calculate the comentropy of colour of skin barycenter following entire motion target, if the colour of skin area that goes of continuous multiple frames detection is more than threshold value B more than the comentropy of moving region below threshold value A or colour of skin barycenter, it is regarded as hand-held object in Shopping Basket, otherwise it is considered empty-handed, background need to be updated.
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| CN201610414195.3A CN105915857A (en) | 2016-06-13 | 2016-06-13 | Monitoring system and monitoring method for supermarket shopping cart |
| PCT/CN2017/083075 WO2017215362A1 (en) | 2016-06-13 | 2017-05-04 | Intelligent shopping system based on supermarket shopping cart and control method therefor |
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